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<p>A smart EV charger in renewable energy sources (RES)-based grid-connected EV charging systems is presented. The single-phase bidirectional voltage source converter (BVSC) is controlled by applying Normalized Least Mean Absolute Third (NLMAT) control algorithms. Grid, nonlinear load, compensator, solar PV panel, and EV charger are all integrated into the system architecture. The suggested system is modelled using MATLAB/SIMULINK. To support the grid, the closed loop system is made to charge and discharge the EV battery. For experimental validation, a hardware prototype has been created in the laboratory. The hardware prototype is used to verify the findings of an analysis of the suggested system under various dynamic settings. The comparison of fundamental currents extracted through the proposed NLMAT algorithm with Least Mean Square (LMS) and (Second-Order Generalized Integrator) SOGI control algorithms is also presented in the paper. EV, PV output, and change in load are among the several dynamics for which the control algorithm is evaluated. The performance is deemed adequate.</p>

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Design and control strategy of RES-based grid-connected EV systems using NLMAT algorithms to improve PQ

  • 期刊论文

  • 发表日期：

    2026年3月5日

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  • Sanjeev Ranjan,
  • Jitendra Kumar,
  • Rabindra Nath Mahanty,
  • Sudhanshu Mittal,
  • Gaurav Yadav

摘要

A smart EV charger in renewable energy sources (RES)-based grid-connected EV charging systems is presented. The single-phase bidirectional voltage source converter (BVSC) is controlled by applying Normalized Least Mean Absolute Third (NLMAT) control algorithms. Grid, nonlinear load, compensator, solar PV panel, and EV charger are all integrated into the system architecture. The suggested system is modelled using MATLAB/SIMULINK. To support the grid, the closed loop system is made to charge and discharge the EV battery. For experimental validation, a hardware prototype has been created in the laboratory. The hardware prototype is used to verify the findings of an analysis of the suggested system under various dynamic settings. The comparison of fundamental currents extracted through the proposed NLMAT algorithm with Least Mean Square (LMS) and (Second-Order Generalized Integrator) SOGI control algorithms is also presented in the paper. EV, PV output, and change in load are among the several dynamics for which the control algorithm is evaluated. The performance is deemed adequate.